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Capital One

Manager, Business Analyst - People Strategy & Analytics

McLean, VA, United States
NY, United States
Richmond, VA, United States

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Job details

Experience: At least 3 years of professional experience performing analysis
Posting language: English
Posted: Nov 9, 2026

Original job description

Manager, Business Analyst - People Strategy & Analytics

People Strategy & Analytics is an emerging field where Capital One is on the leading front. Our team brings data, analytics, and insights to shape critical talent decisions and workforce strategy at Capital One. We work closely with HR partners and senior executives in shaping talent policy, automating real-time data and improving talent decision-making. The team is composed of people with diverse skills and backgrounds including: data analysts and engineers, product managers, data scientists, consultants and strategists, business analysts, HR specialists, economists, and Industrial Organizational Psychologists.

As a Business Manager you will apply your strategic and analytical skills to solve open-ended, complex questions about how we should attract, develop, and retain top talent. You will team up with world-class professionals and senior leadership and work on impactful projects. Your day-to-day might involve:

Using data & analysis to help executives conduct workforce planning or set organizational strategy effectively
Designing new frameworks for evaluating the success of workforce programs
Developing analyses and tools to help Capital One retain and develop the best talent

…and you will do it all in a collaborative environment that promotes continuous learning, rewards innovation, and prioritizes your development.

General Responsibilities:

Strategic problem solving: Identify high impact opportunities to transform the associate experience, conduct analysis, and share insights that inform solutions
Design: Drive and build key programs and analytics solutions for our partners, including measurement strategy, attribution modeling, and automated insights
Experimentation: Partner with clients in experiment design to better understand key drivers of associate behavior
Insights & analysis: Analyze the impact of our programs and combine those insights with the latest thinking in organizational science to help our clients make data-driven, informed decisions

Successful Team Members Demonstrate Competencies In These Areas

Purpose: You feel a deep personal connection to improving the associate experience and are motivated by applying advanced analytics in a mission-driven way
Analytical thinking: A proven track record of decision making and problem solving based on analytics. Conceptual thinking skills must be complemented by a strong quantitative orientation. Identify opportunities for improvement and use data to make strategic and tactical recommendations
Execution: Develop and test hypotheses, design solutions, assess operational feasibility, support implementation efforts, and develop plans and tools for monitoring outcomes
Partnership: Collaborate effectively with other team members and clients in HR
Communication: Strong written and oral communication skills, including visualization skills (i.e., able to “tell the story” and highlight key insights in a clear and concise manner that is easily understood by stakeholders)
Results focus: Drives for results and achieves important goals applying strong organizational skills and detail orientation, even amidst ambiguity

Basic Qualifications:

At least 3 years of professional experience performing analysis
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer engineering, Software engineering, Mechanical engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Business, Finance, Accounting, Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Preferred Qualifications:

Master’s Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering
5+ years of experience in analysis
2+ years of experience in financial services
1+ year of experience in consulting
2+ years of experience in people management

This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $164,800 - $188,100 for Business Manager

New York, NY: $179,700 - $205,100 for Business Manager

Richmond, VA: $149,800 - $171,000 for Business Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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More about this job

Skills

Decision making
Analytical skills
Data analysis
Problem solving
Communication skills
Organizational skills
Statistics
Research
Computer science
Computer engineering
Mechanical engineering
Team leadership
Technical support
Recruitment

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